Linkai Luo
Title
Cited by
Cited by
Year
Stable principal component pursuit-based thermographic data analysis for defect detection in polymer composites
Z Yan, CY Chen, L Luo, Y Yao
Journal of Process Control 49, 36-44, 2017
232017
Bayesian improved model migration methodology for fast process modeling by incorporating prior information
L Luo, Y Yao, F Gao
Chemical Engineering Science 134, 23-35, 2015
162015
Iterative improvement of parameter estimation for model migration by means of sequential experiments
L Luo, Y Yao, F Gao
Computers & Chemical Engineering 73, 128-140, 2015
132015
EmotionX-DLC: self-attentive BiLSTM for detecting sequential emotions in dialogue
L Luo, H Yang, FYL Chin
arXiv preprint arXiv:1806.07039, 2018
122018
Deep learning and its applications to natural language processing
H Yang, L Luo, LP Chueng, D Ling, F Chin
Deep learning: Fundamentals, theory and applications, 89-109, 2019
92019
Cost-effective process modeling and optimization methodology assisted by robust migration techniques
L Luo, Y Yao, F Gao
Industrial & Engineering Chemistry Research 54 (21), 5736-5748, 2015
82015
Mixed-effects Gaussian process modeling approach with application in injection molding processes
L Luo, Y Yao, F Gao, C Zhao
Journal of Process Control 62, 37-43, 2018
72018
Emotionx-hsu: Adopting pre-trained bert for emotion classification
L Luo, Y Wang
arXiv preprint arXiv:1907.09669, 2019
42019
Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-generated Content
Y Wang, L Luo, H Liu
IEEE Transactions on Engineering Management, 2020
22020
Model migration through Bayesian adjustments
L Linkai, G Furong
IFAC-PapersOnLine 48 (8), 112-116, 2015
22015
Neural Machine Translation for Financial Listing Documents
L Luo, H Yang, SC Siu, FYL Chin
International Conference on Neural Information Processing, 232-243, 2018
2018
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Articles 1–11